Articles | Volume 13, issue 5
https://doi.org/10.5194/amt-13-2733-2020
https://doi.org/10.5194/amt-13-2733-2020
Research article
 | Highlight paper
 | 
28 May 2020
Research article | Highlight paper |  | 28 May 2020

Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool

Stacey M. Frith, Pawan K. Bhartia, Luke D. Oman, Natalya A. Kramarova, Richard D. McPeters, and Gordon J. Labow

Viewed

Total article views: 3,712 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,051 604 57 3,712 296 51 53
  • HTML: 3,051
  • PDF: 604
  • XML: 57
  • Total: 3,712
  • Supplement: 296
  • BibTeX: 51
  • EndNote: 53
Views and downloads (calculated since 09 Oct 2019)
Cumulative views and downloads (calculated since 09 Oct 2019)

Viewed (geographical distribution)

Total article views: 3,712 (including HTML, PDF, and XML) Thereof 3,314 with geography defined and 398 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
Download
Short summary
We use the NASA GEOS-GMI chemistry climate model to construct a climatology of stratospheric ozone diurnal variations as a function of latitude, pressure and month, which can be used in a variety of data analysis tasks involving ozone observations made at different times of the day. The climatology compares well with previous modeling simulations and available observations, and to the authors' knowledge is the first characterization of the diurnal cycle available for general ozone data analyses.